LAYMAN S REPORT Floods and Fire Risk Assessment and Management

Transcription

1 LAYMAN S REPORT Floods and Fire Risk Assessment and Management FLIRE is 50% co-financed by LIFE + financial instrument of the European Union.

2 Floods and Fire risk assessment and management Project s code name: FLIRE Project s code. LIFE11ENV/GR/975 Budget: Duration: 01/10/ /09/2015 Consortium Coordinating Beneficiary National Technical University of Athens, Centre of Hydrology and Informatics (NTUA) Project Coordinator: Prof. Maria Mimikou Associated Beneficiaries Imperial College London (ICL) Research Institute for Geo-Hydrological Protection, Italian Research Council (IRPI-CNR) National Observatory of Athens (NOA) Institute of Environmental Research ALGOSYSTEMS S.A. (ALGO) Foundation for Research and Technology Hellas, Institute of applied and computational Mathematics (FORTH) Contact Person Name: Chrysoula Papathanasiou Telephone: papathanasiou@chi.civil.ntua.gr Objectives Aim The aim of the FLIRE Project is the development of an integrated Decision Support System (DSS) for both flash floods and forest fire risk assessment and management. The FLIRE system has three basic components, the weather component, the flood component and the forest fire component and it is available to local authorities and key stakeholders in order to support the combined, effective and efficient management of both natural hazards. The FLIRE Project aims to: Minimize the impact of floods and forest fires on human lives, ecosystems and properties Reduce the level and occurrence of flooding Improve the mitigation of flash floods Improve the forest fires prevention level and forests protection Raise awareness on both hazards of flash flood & forest fire and their combined effects in environmental and socio-economic aspects of Eastern Attica and Athens city. Floods and Fire risk assessment and management 02

3 Innovation The FLIRE s key conceptual innovation is the fact that it addresses fires and floods at the same time, through the same system and data flow, bringing about both a significantly increased efficiency and economy and a much more accurate representation of both phenomena, by taking into account the often under-utilized links between them, including their interaction. Study area Figure 1. The study area of the FLIRE Project The study area of FLIRE is Rafina Catchment (Figure 1), an area that extends over approximately 123 km 2 in Easter Attica. The area is particularly prone to both flash floods and forests fires resulting in its gradual ecological degradation with significant consequences on its population. Extended and accurate datasets for the study area were collected and analyzed, supporting thus an integrated status survey for Rafina catchment. The collected information was verified through regular field trips. Relevant datasets include inter alia hydrometeorological, topographic, forest fuel, land use, geological, urban planning, demographic and urban development information, satellite and aerial images, as well as recorded historical floods and forest fires in the area. Floods and Fire risk assessment and management 03

4 Tools and Services A web-based Decision Support System, named FLIRE DSS, for the combined forest fire control and planning as well as flood risk management is the final product of the FLIRE project and it is online available to key stakeholders and to relevant authorities. The web DSS Platform has been developed with state of the art tools and models in order to facilitate Civil Protection agencies and local stakeholders to take advantage of the web based DSS without the need to install complex software in order to use and maintain it. The web-dss has been designed by implementing the models as web-services, by using a distributed architecture for the system and by accessing it through the web by a web browser. The DSS is bilingual (Greek English) and is accessible to a properly selected user group. Each user has a username and a password in order to access the DSS. Successful login enables the user to enter the interface of the DSS and the Spatial Data Visualization Board. While navigating in the platform, the user can see and focus on Rafina catchment (the Project study area) and load data from the tools incorporated to the DSS. These include (Figure 2): 1. The Weather Forecasting Tool 2.The Weather Station Tool 3.The Fire Management Tool 4.The Fire Danger Tool 5.The Floodplain Data Tool 6.The Alerting Tool 7. The Planning Tool Figure 2. Components of FLIRE DSS Platform Floods and Fire risk assessment and management 04

5 Detail Description of the components Weather component Weather Forecasting Tool NOA provides to the public detailed weather forecasts, generated by 3 state-of-the-art numerical weather prediction models: BOLAM, MM5 and WRF. High-resolution forecasts over the Greater Athens area, generated by MM5 model, are provided daily to the FLIRE platform, in order to assist FLIRE tools on incoming flood episodes and forest fire expansion. The operational weather forecasting model chain provides hourly forecasts for 48 hours period for the greater area of Attica. Forecasts are delivered at a daily basis in a grid point format of resolution 2km (Figures 3, 4) and 48 of these points are located within the boundaries of the study area. Figure 4. The thematic map with the Weather Forecast Grid, as presented in the FLIRE DSS Platform. Figure 3. Attica map and the forecast grid point. Weather forecasts are provided by NOA for the grid points marked with red dots. The boundary of the study area is marked with the yellow (figure on the right). Floods and Fire risk assessment and management 05

6 Weather Station Tool The FLIRE monitoring network (Figure 5) consists of hydrometeorological stations located in and around the study area and operated by NOA and the Hydrological Observatory of Athens (HOA). NOA operates in the area stations that measure temperature, humidity, wind speed and direction, precipitation and air pressure, at 10 minutes interval. Details about the network, instruments, etc. are provided in the webpage HOA, which belongs to NTUA, operates in the area stations that measure precipitation, stream flows, temperature, relative humidity, evaporation, air pressure, wind speed, gust and direction, solar and net radiation, sunshine duration and soil moisture also at 10 minutes interval. Further information for the HOA network is available in the webpage The data of the two networks are stored in the same database. Additionally, both networks are automatic and provide operationally observations to the platform. Figure 5. Hydrometeorological network (HOA and NOA) Floods and Fire risk assessment and management 06

7 Fire Component Fire Management Tool Fire Management System is a web based simulator that contributes to the implementation of a fire propagation evaluation system which uses a two- dimension heat transfer model. For the application of the results in three dimensional space, a modified least route algorithm is used combined with a cellular automata propagation algorithm. The simulator used for Rafina area is the G-FMIS (Fire Growth Simulator) (Figure 6) in ARC - GIS environment, which offers the facility to combine multiple results simulation with geospatial analyses of fire parameters in the area of interest. The analysis and the simulation of forest fire propagation for Rafina catchment is performed using GIS techniques and using the forest fire simulator G-FMIS. Fire Danger Tool Fire danger in FLIRE DSS is calculated based on Keetch-Byram drought index (KBDI) which is a continuous reference scale for estimating the dryness of the soil and duff layers. The index increases for each day without rain (the amount of increase depends on the daily high temperature) and decreases when it rains. The scale ranges from 0 (no moisture deficit) to 800. KBDI is cumulative, based on the previous day value and is calculated once per day, every morning, for each station that is located within the area of interest (it is calculated for all stations located in the greater area of Rafina catchment), using the meteorological data of the previous 24 hours. FLIRE web-system calculates KBDI for the current day (Figure 7), the following day and any given day in the past, for which available meteorological data exist. There are five classes of fire danger associated to respective range of KBDI values: Figure 6. Indicative output of the fire model (G-FMIS) for a 30 minutes time-step. KBDI = 0-25: VERY LOW FIRE RISK KBDI = 25-80: LOW FIRE RISK KBDI = : MODERATE FIRE RISK KBDI = : HIGH FIRE RISK KBDI > 150: EXTREME FIRE RISK Figure 7. Indicative result of the Fire Index calculation for the 24th of July 2015 (today), as presented in the DSS Platform. Floods and Fire risk assessment and management 07

8 Flood Component Floodplain Data Tool Flood component is a core component of the FLIRE system. This tool performs a hydrological and hydraulic analysis for both the peri-urban and the proper urban part of the study area and its ultimate purpose is to support flood risk assessment in the area. The hydrological analysis is executed using the HEC-HMS rainfall-runoff model (developed by USAGE). The output of the hydrological analysis is used as input in the hydraulic analysis. HEC-RAS hydraulic model (developed by USAGE) is used for the hydraulic simulation of the peri-urban area and SWMM model (developed by US EPA) is used for the proper urban area. All models are coupled and the model chain runs automatically using as input weather forecasts for the next 24- and 48-hours, resulting in the generation of flood hazard maps for the current and the following day (Figure 8). The generated flood hazard maps depict the extent of floodplain at inundated areas along the river. Particularly for proper urban areas, the flood hazard maps provide information on water levels at properly selected (i.e. flood prone) sites in the urban zone. Moreover, according to the guidelines of the EU Floods Directive (2007/60/EC), flood hazard maps have been produced for 3 different return periods (T=5, T=200, T=1000 years), that correspond to high, medium and low probability of occurrence, respectively (Figure 9). These hazard maps have been integrated with socioeconomic and environmental datasets representative of the area (Figure 10) in order to support the production of flood risk maps (Figure 11), which allow the quantification of the impact of flooding, examined from a socioeconoimic and environmental perspective. Figure 8. Floodplain map for the peri-urban area (blue color) and for the urban area (graduated yellow color) with forecast data. Floods and Fire risk assessment and management 08

9 Figure 9. Flood Hazard Map for T=1000 years. Figure (on the right) focuses on the urban area and depicts polygons which represent the max floodplain area of the points used in the simulation. Water depth is classified according to the colour ramp (yellow: low depth, red: high depth). Figure 10. The socioeconomic and environmental layers that have been overlaid the productionof the flood risk maps. Figure 11. Flood Risk Map for T=1000 years. Floods and Fire risk assessment and management 09

10 Planning Tool The Planning Tool is an innovative tool for flood management that has been developed during the implementation of FLIRE Project. It performs detailed cost-benefit and environmental analysis and eventually suggests a set of optimum measures-interventions for flood risk management in Rafina catchment. A list of structural and nonstructural measures that have been properly selected so as to be efficient for application in the study area has been set up. All the measures have been incorporated in the hydrological and hydraulic processes and the model chain ran for 8 different initial conditions in terms of fire occurrence, urban development and rainfall return period (worst case scenarios). For each scenario, the Tool suggests the optimum solution - set of structural and non-structural measures (Figure 12) in order to reduce the flood impact according to socioeconomic criteria (construction and maintenance cost and reduction of floodplain for each measure and each combination of measures) and environmental criteria (environmental footprint of each measure and each combination of measures). Particularly for the scenarios which consider fire occurrence, the initial conditions used in flood modelling have been adjusted accordingly. More specifically, an innovative approach has been adopted in order to quantify the impact of a past fire on the hydrological behavior of the catchment and incorporate this impact in the flood model chain. Alerting Tool Flood modelling results based on weather forecasts and real-time meteorological measurements support the development of a three-level smart alerting system. More specifically, for the first alerting level real-time stage recordings from flow gauges (Drafi, Spata, Rafina and Rafina2) installed in the study area (Figure 13) are evaluated and trigger appropriate warnings when necessary. The second alerting level is based on the lightning activity in the greater area, which is associated with storm occurrence. Particularly, every 15-min an automated procedure is executed at NOA, scanning ZEUS lightning detection network data for lightning occurrence within a radius of 10 km and 20 km (Figure 14) around the city of Rafina and a warning is issued and transferred to the FLIRE online tool. Finally, the third alerting level is based on weather forecasts. In this case, flood modelling results, which are generated every day based on weather forecasts, are also evaluated and trigger in turn appropriate warnings when necessary. Floods and Fire risk assessment and management 10

11 Figure 12. The planning tool with the relevant information. Figure 13. Map with the Level (1st, 3rd level) of Alert to each station, as presented in the DSS Platform. Figure 14. Map with the 2nd Level of Alert. Floods and Fire risk assessment and management 11

12 Monitoring FLIRE s impact on floods and fire environmental problem The performance of the tools developed during the Project has been used as an indicator for evaluating the impact of the FLIRE project on the environment. Focusing on the performance of the fire services, the analysis revealed that they are a real benefit for the ecological status of the study area. In particular, fire propagation can be efficiently monitored and forecasted by the Fire Management Information System (FMIS) simulator with evident benefits on the forested areas and their biological diversity. The test for evaluating the FMIS s performance was carried out in the Rafina area for the two most important fire events occurred in 2005 and 2009 (Figure 15). Regarding the flood services, the model chain weather forecast-hydrological modelling-hydraulic modelling" has been tested for many recorded flood events (Figure 16), for the stations Drafi, Rafina, Rafina2 and Spata. The performance of the tool was evaluated on a scale of three performance classes: 1st class-good, 2nd class-medium, 3rd class-bad. Particularly, the flood model chain executes that 100% of the floods for Rafina and Drafi stations are in the 1st class (good class), 90% for Rafina2 station are classified in the 1st class and 50% of the results for Spata station are in the 2nd class. For SWMM six out of a total nine events (66 %) are classified in the 1st class while the remainder (33%) are in the 2nd class. Concluding, both two FLIRE services Flood Fire have a positive impact on the environmental problem of the study area. Figure 16. Comparison of the flood results for an indicative flood event. Figure 15. Fire simulator outputs for 2009 fire occurred in the Rafina area. Floods and Fire risk assessment and management 12

13 Stakeholder meetings (seminar for the operation of the platform) During the implementation of FLIRE Project official Stakeholder meetings and several Round Table meetings took place in the Municipality of Rafina-Pikermi. Fruitful discussions with key stakeholders and representatives from relevant local and national authorities took place during these meetings. The meetings focused on the presentation of the aim and the objectives of the Project, the continuous update regarding the developed tools and the collection of information concerning users expectations and preferences, aiming to increase the usefulness of the FLIRE system and its adaptability to the needs of the study area. Picture 1. Pictures taken from stakeholder meetings Dissemination Material and Publications During the FLIRE Project numerous communicational activities were undertaken, including the publication of several articles in the national and local press, the dissemination of the Project through the web and social media and finally the publication of the Project results in high-profile scientific journals, as well as the presentation of the tools and services of the FLIRE platform during scientific conferences. Picture 2: Dissemination material and publications during the implementation of FLIRE Project Floods and Fire risk assessment and management 13

14 Floods and Fire risk assessment and management Project s code name: FLIRE Project s code. LIFE11ENV/GR/975 Budget: Duration: 01/10/ /09/2015 FLIRE is 50% co-financed by LIFE + financial instrument of the European Union. Consortium Coordinating Beneficiary National Technical University of Athens, Centre of Hydrology and Informatics (NTUA) Project Coordinator: Prof. Maria Mimikou Contact Person Name: Chrysoula Papathanasiou Telephone: papathanasiou@chi.civil.ntua.gr Associated Beneficiaries Imperial College London (ICL) Research Institute for Geo-Hydrological Protection, Italian Research Council (IRPI-CNR) National Observatory of Athens (NOA) Institute of Environmental Research ALGOSYSTEMS S.A. (ALGO) Foundation for Research and Technology Hellas, Institute of applied and computational Mathematics (FORTH) Floods and Fire risk assessment and management 14

15 Table of contents Floods and Fire risk assessment and management - Consortium - Aim - Objectives Innovation- Study area 2 3 Tools and Services 4 Detail Description of the components - Weather component- Weather Forecasting Tool 5 Weather Station Tool 6 Fire Component - Fire Management Tool - Fire Danger Tool Flood Component - Floodplain Data Tool 7 8 Planning Tool - Alerting Tool 10 Monitoring FLIRE s impact on floods and fire environmental problem 12 Stakeholder meetings (seminar for the operation of the platform) 13 Floods and Fire risk assessment and management 15

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